# Debugging

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn`

In your FastAPI application, import and run `uvicorn` directly:

```Python hl_lines="1  15"
{!../../docs_src/debugging/tutorial001.py!}
```

### About `__name__ == "__main__"`

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

namespace parallel_device {

// Allocate a parallel device named `device_name` which forwards operations to
// `underlying_devices`, maintaining "parallel tensors" with components placed
// on each underlying device.
//
// For example if `device_name` is
//   "/job:localhost/replica:0/task:0/device:CUSTOM:0"
// and `underlying_devices` is
//   {"/job:localhost/replica:0/task:0/device:GPU:0",
//    "/job:localhost/replica:0/task:0/device:GPU:1"}

        days-before-stale: 360
        days-before-close: 180
        stale-issue-label: "status:stale"
        exempt-issue-labels: 'type:feature,type:with reproduction steps,type:has pull request'
        stale-pr-label: 'status:stale'

 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
public final class Throwables {
  private Throwables() {}

  /**
   * Throws {@code throwable} if it is an instance of {@code declaredType}. Example usage:
   *
   * <pre>
   * for (Foo foo : foos) {
   *   try {
   *     foo.bar();
   *   } catch (BarException | RuntimeException | Error t) {
   *     failure = t;
   *   }
   * }

  stale:
    permissions:
      pull-requests: write

    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          ascending: true
          exempt-all-milestones: true

          # ISSUES (deactivated) ----------------------------------------------
          # This workflow should touch no issues, so times are set to -1

to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

- A fix must not be a feature, for example.

```
commit faf013ec84051b92ae0f420a658b8d35bb7bb000
Author: Klaus Post <******@****.***>
Date:   Thu Nov 18 12:15:22 2021 -0800

    Improve performance on multiple versions (#13573)
```

- A fix must be a valid fix that was reproduced and seen in a customer environment, for example.

```
commit 886262e58af77ebc7c836ef587c08544e9a0c271

# o isCheckProcedureDiff: (NotRequired - Default false)
# o loadDataReverseMap: (NotRequired - Default map:{})
# o schemaSyncCheckMap: (NotRequired - Default map:{})
# o propertiesHtmlMap: (NotRequired - Default map:{})
#
# Example:
# map:{
#     ; documentOutputDirectory = ./output/doc
#     ; aliasDelimiterInDbComment = :
#     ; isDbCommentOnAliasBasis = true
#     ; isEntityJavaDocDbCommentValid = true
#     ; isEntityDBMetaDbCommentValid = true

```

////

If a client tries to send some **extra** data in the **query parameters**, they will receive an **error** response.

For example, if the client tries to send a `tool` query parameter with a value of `plumbus`, like:

```http
https://example.com/items/?limit=10&tool=plumbus
```

They will receive an **error** response telling them that the query parameter `tool` is not allowed:

```json
{

 *
 * @since 4.0.0
 */
@Experimental
@Consumer
public interface VersionResolver extends Service {

    /**
     * Resolves an artifact's meta version (if any) to a concrete version.
     * For example, resolves "1.0-SNAPSHOT" to "1.0-20090208.132618-23".
     *
     * @param session The repository session, must not be {@code null}.